– Case Study –

Life Science Data Provider Finds Right Formula for Drug Search & Discovery

Training AI Platform for Predictive and Prescriptive Analytics

Challenge

A leading abstract and indexing scientific research discovery solution provides businesses, academia, and governments with a curated database of abstracts, citations, and scholarly articles across multiple disciplines. To enhance their platform to enable predictive and prescriptive analytics for drug discovery and research funding, they required annotated data. 

Enabling Predictive & Prescriptive Analytics

Life Science Data Provider Finds Right Formula for Drug Search & Discovery_Innodata

Results

SOLUTION

To begin the process of creating high-quality labeled scientific datasets, Innodata’s annotation experts set up their platform to automate the process of entity extraction to pull out relevant keywords and references from the source documents. Innodata’s experts then annotated millions of pages of scientific data, research, and articles and created structured, XML datasets that could be used to train the AI platform in predictive and prescriptive analytics. 

IMPACT

With these datasets the research discovery solution was able to provide more insight and give its users actionable intelligence. This intelligence is then used by the customer to research fund attribution, drive investments of new drug development, and avoid patent infringement. 

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(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.

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